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Nature inspires Oak Ridge National Laboratory algorithms for neuromorphic processors

News

MiC Seminars

Project

Efficient Inversion of Large-scale Problems Exploiting Structure and Randomization

Event

Statistics, Topology, and Data Analysis

Event

A Feynman-Kac based numerical method for the exit time probability of a class of transport problems

Highlight

Uncertainty Characterization and Modeling using Positive-definite Random Matrix Ensembles and Polynomial Chaos Expansions

Event

A stochastic approximate gradient ascent method for Bayesian experimental design with implicit models

Highlight

A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics

Highlight

A stochastic optimal control framework for quantifying and reducing uncertainties in deep learning

Project

Katie Schuman wins IEEE-CS Early Career Researcher Awards in HPC

Recognition

Revisiting Solutions of Block Tridiagonal Systems: A Parallel Algorithms Perspective

Event

Applications of Sparse Grids Discontinuous Galerkin Schemes

Event

Modern Neutrino Physics in Simulations of Supernovae and Neutron Star Mergers

Event

Next generation dense linear algebra provided by SLATE

Event

An Integrated Two-Factor Authentication Solution Using Pulse Connect Secure and Apache HTTP Server

Publication